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Lecture
Mining Social Graphs
Graph Chatbot
Related lectures (27)
Graph Mining: Modularity and Community Detection
Explores community detection in graphs using modularity and edge betweenness.
Handling Network Data
Explores handling network data, including types of graphs, real-world network properties, and node importance measurement.
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Delves into the complexities of information exchanges in the digital age.
Handling Networks: Graph Theory
Covers the fundamentals of handling networks and centrality measures in graph theory.
Social Maximum Pilot Project: Pergasona Tower
Delves into the Social Maximum Pilot Project in Lugano, focusing on transforming the decadent Pergasona Tower into a shared community space.
Graph Algorithms II: Traversal and Paths
Explores graph traversal methods, spanning trees, and shortest paths using BFS and DFS.
Fixed Points in Graph Theory
Focuses on fixed points in graph theory and their implications in algorithms and analysis.
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Modular Programming: Managing Project Complexity
Covers modular programming principles, focusing on managing project complexity through effective code structuring and dependency management.
Handling Networks: Graph Theory
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Linear Algebra: Matrices and Linear Applications
Covers matrices, linear applications, vector spaces, and bijective functions.
Graph Algorithms: Modeling and Traversal
Covers graph algorithms, modeling relationships between objects, and traversal techniques like BFS and DFS.
Handling Network Data
Covers handling network data, types of graphs, centrality measures, and properties of real-world networks.
Graphical models: Inference and Factor Graphs
Explores graphical models, factor graphs, and probabilistic inferences in complex systems.
Networked Control Systems: Laplacian Matrix and Consensus
Explores the Laplacian matrix and consensus in networked control systems.
Graph Mining: Link Based Ranking and Document Classification
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Explores link-based ranking, document classification, and graph mining techniques.
Social Network Analysis: Modularity Measure
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Explores the computation of the modularity measure and betweenness centrality in graphs for community detection.
Graph Coloring: Theory and Applications
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Explores graph coloring theory, spectral clustering, community detection, and network structures.
Facebook Research: User Analysis, Motivations, Identity, and Privacy
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Covers Facebook research on user analysis, motivations, identity, and privacy.
Algorithmic Paradigms for Dynamic Graph Problems
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Covers algorithmic paradigms for dynamic graph problems, including dynamic connectivity, expander decomposition, and local clustering, breaking barriers in k-vertex connectivity problems.
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